A comparative study of three LS-based power system state estimators for bad data identification

I. O. Habiballah; M. R. Irving

A comparative study of three LS-based power system state estimators for bad data identification

I. O. Habiballah^*
, M. R. Irving

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a comparative study between three least squares-based state estimators. The study compares the performance of these estimators in identifying the presence of bad measurements of different types and magnitudes. Running a series of simulations with varying measurement redundancies assesses the performance of these estimators.

Original language	English
Pages (from-to)	105-114
Number of pages	10
Journal	Electric Power Components and Systems
Volume	28
Issue number	2
State	Published - 2000

Keywords

Bad data identification
Least squares
State estimators

ASJC Scopus subject areas

Energy Engineering and Power Technology
Mechanical Engineering
Electrical and Electronic Engineering

Cite this

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title = "A comparative study of three LS-based power system state estimators for bad data identification",

abstract = "This paper presents a comparative study between three least squares-based state estimators. The study compares the performance of these estimators in identifying the presence of bad measurements of different types and magnitudes. Running a series of simulations with varying measurement redundancies assesses the performance of these estimators.",

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AB - This paper presents a comparative study between three least squares-based state estimators. The study compares the performance of these estimators in identifying the presence of bad measurements of different types and magnitudes. Running a series of simulations with varying measurement redundancies assesses the performance of these estimators.

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KW - Least squares

KW - State estimators

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M3 - Article

AN - SCOPUS:26844530242

SN - 1532-5008

VL - 28

SP - 105

EP - 114

JO - Electric Power Components and Systems

JF - Electric Power Components and Systems

IS - 2

ER -

A comparative study of three LS-based power system state estimators for bad data identification

Abstract

Keywords

ASJC Scopus subject areas

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